Glucose interpretation meaning and action (GIMA): Insights to blood glucose user interface interpretation in type 1 diabetes
Interpreting and making decisions using glucose monitoring UIs remains significantly challenging for people with T1DM despite their self-perceived performance. Improving such UIs is crucial to reduce misinterpretation and help these individuals make better treatment decisions without relying on their potentially inaccurate interpretations.
Authors
- Bijan Parsia (ORCID: https://orcid.org/0000-0002-3222-7571)
- Hood Thabit (ORCID: https://orcid.org/0000-0001-6076-6997)
- Simon Harper (ORCID: https://orcid.org/0000-0001-9301-5049)
- Rujiravee Kongdee (ORCID: https://orcid.org/0000-0003-0375-2833)
Institutions
- University of Manchester (GB)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251332580
- Citations
- 1
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.82